Changes in version 1.5-9

predict.svm() now adds row numbers to predictions, and
correctly handles the na.action argument using
napredict().

Changes in version 1.5-8

Update to libsvm 2.8 (uses a faster optimization algorithm)

Changes in version 1.5-7

read.matrix.csr() did not work correctly with
matrix-only objects.

svm(): Fixed wrong labeling for predicted decision values and
probabilities in case of a Class factor created from a non-ordered
character vector

Changes in version 1.5-6

cmeans() is substantially enhanced, with a complete
rewrite of the underlying C code. It is now possible to specify
case weights and the relative convergence tolerance. For Manhattan
distances, centers are correctly computed as suitably weighted
medians (rather than means) of the observations. The print method
for fclust objects is now more in parallel with related methods, and
registered in the name space.

Changes in version 1.5-5

read.octave() is now deprecated in favor of a
substantially enhanced version in package foreign for reading
in files in Octave text data format.

Changes in version 1.5-4

Use lazy loading

Changes in version 1.5-3

New arguments in plot.svm() for customizing plot
symbols and colors

Fix of broken code in plot.svm() for the
fill = FALSE (non-default) case

Changes in version 1.5-2

Fixed memory leak in svm()

Changes in version 1.5-1

Fixed C++ style comments

Changes in version 1.5-0

Example for weighting added in svm() help page

upgrade to libsvm 2.6: support for probabilities added

Changes in version 1.4-1

NaiveBayes() is more accurate for small probabilities

call is more sensible in tune(), tune.foo(), and
best.foo() objects.

control parameter of tune() changed to
tunecontrol to solve name space conflict with training
methods using control themselves

new function matchControls()

fixed a bug in bclust() triggered when a cluster had
only one center

Changes in version 1.4-0

adjusted to restructering of R base packages

added a ‘NAMESPACE’ file

Function write.svm() now also creates a file with
scaling information

Changes in version 1.3.16

Small bug fixes in predict.svm() and plot.svm()

Function write.svm() added which saves models created
with svm() in the format libsvm can read.